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Quantitative Structure-Activity Relationship (QSAR) modeling is a valuable tool in computational chemistry and drug design, where it aims to predict the activity or property of chemical compounds based on their molecular structure. In this vignette, we present the 'rQSAR' package, which provides functions for variable selection and QSAR modeling using Multiple Linear Regression (MLR), Partial Least Squares (PLS), and Random Forest algorithms.
Package details |
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Author | Oche Ambrose George [aut, cre] (<https://orcid.org/0000-0002-3979-6232>) |
Maintainer | Oche Ambrose George <ocheab1@gmail.com> |
License | MIT + file LICENSE |
Version | 1.0.0 |
Package repository | View on CRAN |
Installation |
Install the latest version of this package by entering the following in R:
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